7  References

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CDC. (2024b, September 20). Current epidemic growth status (based on rt) for states. Retrieved from https://www.cdc.gov/cfa-modeling-and-forecasting/rt-estimates/index.html

Cori, A., Ferguson, N. M., Fraser, C., & Cauchemez, S. (2013a). A new framework and software to estimate time-varying reproduction numbers during epidemics. American Journal of Epidemiology, 178(9), 1505–1512. Retrieved from https://doi.org/10.1093/aje/kwt133

Cori, A., Ferguson, N. M., Fraser, C., & Cauchemez, S. (2013b). A new framework and software to estimate time-varying reproduction numbers during epidemics. American Journal of Epidemiology, 178(9), 1505–1512. Retrieved from https://doi.org/10.1093/aje/kwt133

Cori, A., Ferguson, N. M., Fraser, C., & Cauchemez, S. (2013c). A new framework and software to estimate time-varying reproduction numbers during epidemics. American Journal of Epidemiology, 178(9), 1505–1512. Retrieved from https://doi.org/10.1093/aje/kwt133

Gostic, K. M., McGough, L., Baskerville, E. B., Abbott, S., Joshi, K., Tedijanto, C., Kahn, R., et al. (2020a). Practical considerations for measuring the effective reproductive number, Rt. PLOS Computational Biology, 16(12), e1008409. Retrieved from https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008409

Gostic, K. M., McGough, L., Baskerville, E. B., Abbott, S., Joshi, K., Tedijanto, C., Kahn, R., et al. (2020b). Practical considerations for measuring the effective reproductive number, Rt. PLOS Computational Biology, 16(12), e1008409. Retrieved from https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008409

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